New perspective on density-based spatial clustering of applications with noise for groundwater assessment

•Novel frameworks were developed for groundwater assessment in arid environments.•Polynomial kernel outperformed other types in reducing the dimensionality of the dataset.•DBSCAN detected groundwater clusters and identified contamination hotspots effectively.•Seawater intrusion and over-extraction w...

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Bibliographic Details

Published in:	Journal of hydrology (Amsterdam) Vol. 661; p. 133566
Main Authors:	Jibrin, Abdulhayat M., Al-Suwaiyan, Mohammad, Yaseen, Zaher Mundher, Abba, Sani I.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2025
Subjects:	DBSCAN Groundwater quality Kernel PCA Seawater intrusion Spatial clusters Kernel PCA DBSCAN Spatial clusters Seawater intrusion Groundwater quality
ISSN:	0022-1694
Online Access:	Get full text
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